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Prod ML Systems are HARD
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Classroom Contents
Meditations on First Deployment - A Practical Guide to Responsible Development
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- 1 Intro
- 2 Hello, my name is Alejandro
- 3 Software is eating the world The future wonders of the world will be running Python
- 4 Critical infrastructure increasing depends on running software
- 5 Responsibility Infrastructure
- 6 Professional Responsibility
- 7 Going beyond the algorithms Large ethical challenges cannot fall on the shoulders of a single
- 8 End-to-end Approach
- 9 Terminology
- 10 Principles & Ethics Framework
- 11 Industry/Code Standards
- 12 Standardisation Bodies You can get involved in the design and development and use of standards
- 13 Open Source as Policy
- 14 Open Source Foundations You can get involved on the design and development and use of standards
- 15 Software's Massive Traction
- 16 Not all can be solved w code
- 17 E.g The Challenge of our Generation
- 18 Ensuring the right solution Before tackling a problem we should be able to identify how much of it is actually a software problem before actually writing code
- 19 Prod ML Systems are HARD
- 20 Principles for responsible Al
- 21 Procurement Framework
- 22 Alignment on first principles
- 23 Industry Framework Case Stua
- 24 Loan approval process
- 25 Traditional data science proces
- 26 It's a disaster
- 27 Bias Evaluation Process
- 28 Taking into account correlation
- 29 Meditations on First Deployment A Practical Guide to Responsible Development
